This blog series will be a bit different. It might leave you with more questions than answers and I apologize for that upfront. It is also more controversial than most other posts, I have written before. In this post, I will discuss the current developments regarding AI in software development more from a CTO’s perspective. This means, I cannot simply reason about the pros and cons of a topic but I also need to take the market forces into account.

In the previous post, we discussed how the broken feedback loops that software development projects create lead to a continuously deteriorating IT system landscape, resulting in an ever-shrinking dependability – which is probably the by far most important runtime property of software.

What is a project?

In the previous post, we discussed the biggest challenges, IT organizations face these days. We have seen four big challenges, each with its own peculiarities:

Lately, I attended an IT decision maker conference. A few hundred CIOs and other IT decision makers under a single roof. When looking at the conference schedule, you found the usual suspects: